Triple
T14036671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellinikon International Airport |
E337728
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Alimos |
E235181
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Alimos | Statement: [Ellinikon International Airport, nearbySettlement, Alimos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alimos Context triple: [Ellinikon International Airport, nearbySettlement, Alimos]
-
A.
Alimos
chosen
Alimos is a coastal suburb in the southern part of Athens, Greece, known for its marina and beaches along the Saronic Gulf.
-
B.
Alibamu
Alibamu refers to a Native American people and their Muskogean language historically associated with the region that is now the U.S. state of Alabama.
-
C.
Alis
Alis is a given name that can function as a variant of Alice or a distinct personal name in various cultures.
-
D.
Almatti
Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
-
E.
Amaala
Amaala is a luxury tourism and wellness destination being developed on Saudi Arabia’s Red Sea coast as part of the country’s economic diversification and high-end tourism strategy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30e312148190a6be0a3258364e6e |
completed | April 14, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc339d53c8190a9cd7027a716ff5f |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.